Adaptive Fuzzy Output Feedback Control for A Class of Nonlinear Pure-Feedback Systems with Full State Constraints

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• 英文论文题名：Adaptive Fuzzy Output Feedback Control for A Class of Nonlinear Pure-Feedback Systems with Full State Constraints
• 论文作者：Jiale Yi ; Jing Li ; Junmin Li ; Jian Wu
• 英文论文作者：Jiale Yi ; Jing Li ; Junmin Li ; Jian Wu ; School of mathematics and statistics ; Xidian University
• 年：2017
• 作者机构：School of mathematics and statistics,Xidian University;
• 英文论文关键词：adaptive control ; output feedback ; Butterworth low-pass filter
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（A）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（A）
• 语种：英文
• 分类号：TP273
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：6
• 文件大小：3120k
• 原文格式：D
• 会议级别：全国

摘要

This paper is concerned with the problem of adaptive fuzzy output feedback control for a class of nonlinear purefeedback systems with full state constraints. Because the systems have immeasurable states, the fuzzy state observers are designed to estimate the unmeasured states with the help of fuzzy logic systems to approximate the unknown nonlinear functions. A fuzzy adaptive output feedback control scheme is developed by incorporating the filtered signals into the backstepping recursive design, which guarantees that the full state constraints are not violated. All the signals of the closed-loop systems are bounded after employing Barrier Lyapunov Function(BLF), and the observer errors and the tracking errors of the systems converge to a small neighborhood of the origin by choosing the appropriate design parameters. Simulation studies show the effectiveness of the proposed approach.
This paper is concerned with the problem of adaptive fuzzy output feedback control for a class of nonlinear purefeedback systems with full state constraints. Because the systems have immeasurable states, the fuzzy state observers are designed to estimate the unmeasured states with the help of fuzzy logic systems to approximate the unknown nonlinear functions. A fuzzy adaptive output feedback control scheme is developed by incorporating the filtered signals into the backstepping recursive design, which guarantees that the full state constraints are not violated. All the signals of the closed-loop systems are bounded after employing Barrier Lyapunov Function(BLF), and the observer errors and the tracking errors of the systems converge to a small neighborhood of the origin by choosing the appropriate design parameters. Simulation studies show the effectiveness of the proposed approach.

引文

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